Scientific Sessions

The integration of robotics, artificial intelligence (AI), and digital health technologies is revolutionizing rehabilitation, enabling personalized, precise, and efficient care. Robotic-assisted devices, such as exoskeletons and robotic arms, support mobility and strength training for patients with neurological, musculoskeletal, or post-surgical impairments, allowing repetitive, task-specific exercises that enhance recovery. AI-driven platforms analyze patient data to optimize therapy plans, predict outcomes, and provide real-time feedback, ensuring individualized interventions that adapt to each patient’s progress.

Digital health solutions, including tele-rehabilitation, wearable sensors, and mobile health apps, are transforming accessibility and continuity of care. Patients can engage in guided exercises from home, track their performance, and share progress with clinicians remotely, making rehabilitation more flexible and data-driven. These technologies not only improve clinical outcomes but also enhance patient engagement, motivation, and adherence to therapy. The convergence of robotics, AI, and digital health marks a new era in rehabilitation, empowering patients to regain function, maximize independence, and achieve sustainable improvements in physical and cognitive health.